812 Automated Eco-Genetic System Prognosis of Bronchial Asthma in Georgian Population

2010 
Background: According to the actual direction of nowadays allergology more attention is paid to the prevention in early age period significantly decreases morbidity of allergic diseases and improve quality of life. Hereditary predisposition plays the most important role in the developing of disease, but it is not everything recognizable, it may be not demonstrated clinical symptoms in parents and other close relatives of affected individual. Aim: To elaborate the new automated assessment cost-effective system which would allow early diagnostic and prevention BA by using “formalized cards”. This system is based on the primary and secondary prognosis of BA. Methods: HLA- markers (Terrasaki microlymphocytotoxic tests) typing was performed with 2nd class (DR, DQ) and 1st class (A, B, C) antigens locus's; Erythrocyte markers: ABO, Rhesus and MNS systems, Clinical-genealogic method (Falconer D., 1965): study of genealogical tree of investigated families; Genetic - statistic analysis “ Informative Criteria” of different signs: ontogeny, phenotypic, environmental factors (by Kulback, Goubler E.B, 1990). Method of multi-dimensional phenotyping: agglomerative- hierarchical cluster analyse of chosen systems of signs. Analyse was performed in the interactive order. Results: Multi-dimensional phenotyping shoves phenotype classes: Classes of basic predisposition, including up to 80% of individuals with manifested asthma; Classes of relative predisposition, including less then 80% of individuals with manifested asthma; Phenotype classes including a few patients; Phenotype classes not predisposed to BA, basically including healthy persons. Conclusion: Elaborated computing table is enough simple and opportune for comprehensive use. It is proposed, for primary prognostic of BA. This method gives.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []